Triple

T20575685
Position Surface form Disambiguated ID Type / Status
Subject Red Dust E505211 entity
Predicate castMember P1668 FINISHED
Object Chiwetel Ejiofor NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chiwetel Ejiofor | Statement: [Red Dust, castMember, Chiwetel Ejiofor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiwetel Ejiofor
Context triple: [Red Dust, castMember, Chiwetel Ejiofor]
  • A. Chiwetel Ejiofor chosen
    Chiwetel Ejiofor is an acclaimed British actor known for his powerful performances in films such as "12 Years a Slave," "Doctor Strange," and numerous stage and television roles.
  • B. David Oyelowo
    David Oyelowo is a British-Nigerian actor known for his powerful performances in film and television, particularly in biographical and historical dramas.
  • C. Vincent Ogbulafor
    Vincent Ogbulafor was a Nigerian politician who served as a national chairman of the Peoples Democratic Party and held various influential roles in Nigeria’s political landscape.
  • D. Idris Elba
    Idris Elba is a British actor, producer, and musician known for his roles in projects such as "Luther," "The Wire," and numerous major Hollywood films.
  • E. Mark Rylance
    Mark Rylance is an acclaimed English actor and theatre director known for his nuanced performances on stage and in films such as "Bridge of Spies" and "Dunkirk."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a909785c8190a02b1195eadb384c completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.